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Linso attends Training on GHG Inventory Estimation and Reporting

Ms. Farhana Jane S. Linso, Statistical Analyst of PSA-ARMM, attended the Training on Intergovernmental Panel on Climate Change (IPCC) Guidelines in the Estimation and Reporting of National Greenhouse Gas (GHG) Inventories last October 09 to 11, 2018 at Savannah Resort Hotel, Pampanga.

Resource Person Mr. Leandro Buendia, International Climate Change Consultant, introduced the participants to the IPCC Guidelines of estimating and reporting national GHG inventories using the Agriculture and Land Use National GHG Inventory Software or the ALU Tool. Though the software is limited to anthropogenic activities only, ALU Tool can be used even at a project-based scope.

A good economy comes with a price, and the one paying it is the environment. According to Mr. Buendia, determining the amount of GHGs emitted by an area’s agriculture is essential in formulating evidence-based decisions and policies related to the mitigation of adverse impacts of certain agricultural practices in an economy.

Mr. Buendia demostrated the step-by-step installation and data entry procedures of the ALU Tool together with the participants. Regional data on the population of livestock and poultry and volume of crops, disaggregated into more specific classifications, were provided by the representative of each PSA Regional Office during the workshop. Using these data and the default estimates in the software, participants were able to provide an estimated amount of GHG emitted by their respective regions’ agricultural sector during a reference year.

On the last day of the training, Ms. Linso was among the participants who were selected by Mr. Buendia to present their output. Using the ALU Tool, Ms. Linso reported that ARMM’s agricultural sector emitted a total of 2,187.08 Gg (1 Gigagram = 1,000 metric tons) of GHG (measured in Carbon Dioxide or CO2) in 2015. This includes the GHGs emitted in enteric fermentation (CH4), manure management system (CH4), direct and indirect manure management system (N2O), cropland remaining cropland (CO2), biomass burning in croplands (GHG), liming (CO2), urea application (CO2), managed soils (N2O), and rice cultivation (CH4). Though Ms. Linso used agrcultural statistics officially released by PSA, she only estimated the further disaggregation of these data based on her own observation of the region’s agricultural practices. Thus, the result of her estimates is still subject for validation and not yet approved for official publication.